44 datasets found
  1. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Aug 29, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  2. US Stock Market Data: S&P 500 Index (1901–2025)

    • kaggle.com
    Updated May 13, 2025
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    Ahmadul Karim Chowdhury (2025). US Stock Market Data: S&P 500 Index (1901–2025) [Dataset]. https://www.kaggle.com/datasets/ahmadulkc/s-and-p-500-historical-monthly-prices-19012025/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 13, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ahmadul Karim Chowdhury
    Description

    This dataset contains the monthly historical data of the S&P 500 index from January 1901 to May 2025, collected from Investing.com. The S&P 500 is a stock market index that tracks the performance of 500 large companies listed on stock exchanges in the United States.

    It is widely used as a benchmark for the U.S. equity market, representing over 80% of the total market capitalization. This dataset is suitable for:

    • Time-series forecasting
    • Economic event impact analysis (e.g., wars, recessions, pandemics)
    • Financial visualizations in Tableau or Power BI
    • Quantitative finance and portfolio management research

    Column Descriptions

    ColumnDescription
    DateMonthly date in MM-DD-YY format (e.g., 01-01-24 = Jan 2024)
    PriceClosing price of the S&P 500 for the month
    OpenOpening price of the index for the month
    HighHighest price during the month
    LowLowest price during the month
    Change %Percentage change from previous month’s close

    Potential Use Cases:

    • Visualizing market impact of wars, financial crises, and pandemics
    • Analyzing long-term trends in the U.S. equity market
    • Forecasting future index levels using machine learning
    • Annotating economic history alongside market movements

    Citation:

    Data source: Investing.com

  3. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 5, 1965 - Aug 29, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, fell to 42718 points on August 29, 2025, losing 0.26% from the previous session. Over the past month, the index has climbed 5.08% and is up 10.53% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on August of 2025.

  4. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jan 15, 2019
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    TRADING ECONOMICS (2019). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jan 15, 2019
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 19, 1990 - Aug 29, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3858 points on August 29, 2025, gaining 0.37% from the previous session. Over the past month, the index has climbed 6.70% and is up 35.74% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

  5. T

    Greece Stock Market (ASE) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 3, 2020
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    TRADING ECONOMICS (2020). Greece Stock Market (ASE) Data [Dataset]. https://tradingeconomics.com/greece/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Feb 3, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 5, 1988 - Aug 29, 2025
    Area covered
    Greece
    Description

    Greece's main stock market index, the Athens General, fell to 2022 points on August 29, 2025, losing 1.06% from the previous session. Over the past month, the index has climbed 2.26% and is up 41.26% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Greece. Greece Stock Market (ASE) - values, historical data, forecasts and news - updated on August of 2025.

  6. Stock Market Data - Nifty 100 stocks (15 min) data

    • kaggle.com
    Updated Aug 7, 2025
    + more versions
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    Deba (2025). Stock Market Data - Nifty 100 stocks (15 min) data [Dataset]. https://www.kaggle.com/datasets/debashis74017/stock-market-data-nifty-100-stocks-15-min-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 7, 2025
    Dataset provided by
    Kaggle
    Authors
    Deba
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Disclaimer!!! Data uploaded here are collected from the internet. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either monetary or any favor) for this dataset.

    Overview

    This dataset contains historical daily prices for Nifty 100 stocks and indices currently trading on the Indian Stock Market. - Data samples are of 15-minute intervals and the availability of data is from Jan 2015 to Feb 2022. - Along with OHLCV (Open, High, Low, Close, and Volume) data, we have created 55 technical indicators. - More details about these technical indicators are provided in the Data description file.

    Content

    The whole dataset is around 5 GB, and 100 stocks (Nifty 100 stocks) and 2 indices (Nifty 50 and Nifty Bank indices) are present in this dataset. Details about each file are - - OHLCV (Open, High, Low, Close, and Volume) data

    Inspiration

    • Data is uploaded for Research and Educational purposes.

    Possible problem statements

    • Univariate and Multi-variate time series forecasting of stock prices and index prices
    • Multi-variate data can be used to predict the trend of the stock price (Buy or Sell or Hold)
    • Different intraday or positional trading strategies can be built out of this multivariate data. [technical indicators are already added here]
    • EDA on time series data
    Index NameIndex NameIndex NameIndex Name
    NIFTY BANKNIFTY 50NIFTY 100NIFTY COMMODITIES
    NIFTY CONSUMPTIONNIFTY FIN SERVICENIFTY ITNIFTY INFRA
    NIFTY ENERGYNIFTY FMCGNIFTY AUTONIFTY 200
    NIFTY ALPHA 50NIFTY 500NIFTY CPSENIFTY GS COMPSITE
    NIFTY HEALTHCARENIFTY CONSR DURBLNIFTY LARGEMID250NIFTY INDIA MFG
    NIFTY IND DIGITAL
    Company NameCompany NameCompany NameCompany Name
    ABB India Ltd.Adani Energy Solutions Ltd.Adani Enterprises Ltd.Adani Green Energy Ltd.
    Adani Ports and SEZ Ltd.Adani Power Ltd.Ambuja Cements Ltd.Apollo Hospitals Enterprise Ltd.
    Asian Paints Ltd.Avenue Supermarts Ltd.Axis Bank Ltd.Bajaj Auto Ltd.
    Bajaj Finance Ltd.Bajaj Finserv Ltd.Bajaj Holdings & Investment Ltd.Bajaj Housing Finance Ltd.
    Bank of BarodaBharat Electronics Ltd.Bharat Petroleum Corporation Ltd.Bharti Airtel Ltd.
    Bosch Ltd.Britannia Industries Ltd.CG Power and Industrial Solutions Ltd.Canara Bank
    Cholamandalam Inv. & Fin. Co. Ltd.Cipla Ltd.Coal India Ltd.DLF Ltd.
    Dabur India Ltd.Divi's Laboratories Ltd.Dr. Reddy's Laboratories Ltd.Eicher Motors Ltd.
    Eternal Ltd.GAIL (India) Ltd.Godrej Consumer Products Ltd.Grasim Industries Ltd.
    HCL Technologies Ltd.HDFC Bank Ltd.HDFC Life Insurance Co. Ltd.Havells India Ltd.
    Hero MotoCorp Ltd.Hindalco Industries Ltd.Hindustan Aeronautics Ltd.Hindustan Unilever Ltd.
    Hyundai Motor India Ltd.ICICI Bank Ltd.ICICI Lombard General Insurance Ltd.ICICI Prudential Life Insurance Ltd.
    ITC Ltd.Indian Hotels Co. Ltd.Indian Oil Corporation Ltd.I...
  7. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 22, 1997 - Sep 1, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, rose to 2911 points on September 1, 2025, gaining 0.40% from the previous session. Over the past month, the index has climbed 4.94% and is up 14.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on September of 2025.

  8. End-of-Day Pricing Data Nigeria Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Pricing Data Nigeria Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-data-nigeria-techsalerator
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Nigeria
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 177 companies listed on the Nigerian Stock Exchange (XNSA) in Nigeria. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    Top 5 used data fields in the End-of-Day Pricing Dataset for Nigeria:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    ‍

    Top 5 financial instruments with End-of-Day Pricing Data in Nigeria:

    Nigerian Stock Exchange (NSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Nigerian Stock Exchange. This index provides an overview of the overall market performance in Nigeria.

    Nigerian Stock Exchange (NSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Nigerian Stock Exchange. This index reflects the performance of international companies operating in Nigeria.

    Company A: A prominent Nigerian company with diversified operations across various sectors, such as telecommunications, energy, or banking. This company's stock is widely traded on the Nigerian Stock Exchange.

    Company B: A leading financial institution in Nigeria, offering banking, insurance, or investment services. This company's stock is actively traded on the Nigerian Stock Exchange.

    Company C: A major player in the Nigerian agricultural sector, involved in the production and distribution of agricultural products. This company's stock is listed and actively traded on the Nigerian Stock Exchange.

    ‍

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Nigeria, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    ‍

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Nigeria ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Nigeria?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Nigeria exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and w...

  9. Toronto Stock Exchange statistics

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Nov 1, 2023
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    Government of Canada, Statistics Canada (2023). Toronto Stock Exchange statistics [Dataset]. http://doi.org/10.25318/1010012501-eng
    Explore at:
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table contains 25 series, with data for years 1956 - present (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Toronto Stock Exchange Statistics (25 items: Standard and Poor's/Toronto Stock Exchange Composite Index; high; Standard and Poor's/Toronto Stock Exchange Composite Index; close; Toronto Stock Exchange; oil and gas; closing quotations; Standard and Poor's/Toronto Stock Exchange Composite Index; low ...).

  10. A New Index to Measure U.S. Financial Conditions

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
    + more versions
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    Board of Governors of the Federal Reserve System (2024). A New Index to Measure U.S. Financial Conditions [Dataset]. https://catalog.data.gov/dataset/a-new-index-to-measure-u-s-financial-conditions
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

  11. End-of-Day Pricing Market Data Kenya Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Pricing Market Data Kenya Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-market-data-kenya-techsalerator
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 66 companies listed on the Nairobi Securities Exchange (XNAI) in Kenya. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    ‍

    Top 5 used data fields in the End-of-Day Pricing Dataset for Kenya:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    ‍

    Top 5 financial instruments with End-of-Day Pricing Data in Kenya:

    Nairobi Securities Exchange All Share Index (NASI): The main index that tracks the performance of all companies listed on the Nairobi Securities Exchange (NSE). NASI provides insights into the overall market performance in Kenya.

    Nairobi Securities Exchange 20 Share Index (NSE 20): An index that tracks the performance of the top 20 companies by market capitalization listed on the NSE. NSE 20 is an important benchmark for the Kenyan stock market.

    Safaricom PLC: A leading telecommunications company in Kenya, offering mobile and internet services. Safaricom is one of the largest and most actively traded companies on the NSE.

    Equity Group Holdings PLC: A prominent financial institution in Kenya, providing banking and financial services. Equity Group is a significant player in the Kenyan financial sector and is listed on the NSE.

    KCB Group PLC: Another major financial institution in Kenya, offering banking and financial services. KCB Group is also listed on the NSE and is among the key players in the country's banking industry.

    ‍

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Kenya, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    ‍

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Kenya ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Kenya?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Kenya exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wire transfers, facilitating a convenient and se...

  12. T

    Spain Stock Market Index (ES35) Data

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Spain Stock Market Index (ES35) Data [Dataset]. https://tradingeconomics.com/spain/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 6, 1991 - Aug 29, 2025
    Area covered
    Spain
    Description

    Spain's main stock market index, the ES35, fell to 14936 points on August 29, 2025, losing 0.90% from the previous session. Over the past month, the index has climbed 3.86% and is up 30.99% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Spain. Spain Stock Market Index (ES35) - values, historical data, forecasts and news - updated on August of 2025.

  13. US Stock Market

    • kaggle.com
    Updated May 26, 2021
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    Milad (2021). US Stock Market [Dataset]. https://www.kaggle.com/mryder/us-stock-market-historical-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 26, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Milad
    Description

    Context

    I always wanted to have a program that fetch the whole stock market data at once without concerning about new companies that went public recently. So, here it is.

    Content

    This dataset contains 2 python scripts which one can fetch the data from on their own machine without any special requirements by just running the collect.py . I have done this part in May/21/2021 (Version 2). So, the data is available until then. If one wants to have extend that period, they can run the collect.py .

    Columns Description

    tickers.csv contains ticker names along with some additional data such as name of the company, sector, industry, and the country of the company.

    Each CSV file in stocksData folder named as the company's ticker name. Each file has 8 columns: - Date: as an index. - Open, Close, High, Low: which is in dollars. - Volume: which is number of shares that traded in specific date. - Stock Splits: Show if there is a stock split in specific day as the split ratio. - Dividends: which is in dollars. If a company doesn’t provide dividends for their share holders, this column can be dropped.

    Acknowledgements

    I've used finviz site and yfinance package to gather this rich data.

    Inspiration

    I hope one can find this helpful and interesting. If you have any questions don't hesitate to contact me at milad@miladtabrizi.com .

  14. End-of-Day Pricing Data Netherlands Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Pricing Data Netherlands Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-data-netherlands-techsalerator/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Netherlands
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 1003 companies listed on the Euronext Amsterdam (XAMS) in Netherlands. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    ‍

    Top 5 used data fields in the End-of-Day Pricing Dataset for Netherlands:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    ‍

    Top 5 financial instruments with End-of-Day Pricing Data in Netherlands:

    Amsterdam Stock Exchange (AEX) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Amsterdam Stock Exchange. This index provides an overview of the overall market performance in the Netherlands.

    Amsterdam Stock Exchange (AEX) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Amsterdam Stock Exchange. This index reflects the performance of international companies operating in the Netherlands.

    Company A: A prominent Dutch company with diversified operations across various sectors, such as technology, healthcare, or finance. This company's stock is widely traded on the Amsterdam Stock Exchange.

    Company B: A leading financial institution in the Netherlands, offering banking, insurance, or investment services. This company's stock is actively traded on the Amsterdam Stock Exchange.

    Company C: A major player in the Dutch energy or consumer goods sector, involved in the production and distribution of related products. This company's stock is listed and actively traded on the Amsterdam Stock Exchange.

    ‍

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Netherlands, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    ‍

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Netherlands ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Netherlands?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Netherlands exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment method...

  15. End-of-Day Price Data Cayman Islands Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Price Data Cayman Islands Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-price-data-cayman-islands-techsalerator/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Cayman Islands
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 1000 companies listed on the Cayman Islands Stock Exchange (XCAY) in Cayman Islands. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    ‍

    Top 5 used data fields in the End-of-Day Pricing Dataset for Cayman Islands :

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    ‍

    Top 5 financial instruments with End-of-Day Pricing Data in Cayman Islands:

    Cayman Islands Stock Exchange (CSX) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Cayman Islands Stock Exchange. This index provides insights into the overall market performance of companies based in the Cayman Islands.

    Cayman Islands Stock Exchange (CSX) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Cayman Islands Stock Exchange. This index reflects the performance of international companies that are listed and traded on the CSX.

    Financial Services Corporation Cayman Trust Bank: A major financial institution based in the Cayman Islands, offering banking, investment, and wealth management services. This company's securities are listed and traded on the CSX.

    Real Estate Development Group Cayman Properties: A prominent real estate development company operating in the Cayman Islands, involved in the construction of residential and commercial properties. This company's securities are listed on the CSX.

    Offshore Investment Fund Cayman Capital: An offshore investment fund registered in the Cayman Islands, offering investment opportunities to both local and international investors. Units of this fund are traded on the CSX.

    ‍

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Cayman Islands, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    ‍

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Cayman Islands ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Cayman Islands?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Cayman Islands exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botsw...

  16. m

    EA Series Trust - Price Series

    • macro-rankings.com
    csv, excel
    Updated Oct 5, 2022
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    macro-rankings (2022). EA Series Trust - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/SHOC-US
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Oct 5, 2022
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for EA Series Trust. The frequency of the observation is daily. Moving average series are also typically included. The index is a subset of a float-adjusted capitalization weighted index of equity securities covering approximately the largest 99% of the free-float market capitalization in the U.S. stock market stock market. Under normal circumstances, at least 80% of the fund"s total assets (exclusive of collateral held from securities lending) will be invested in U.S. semiconductor companies. It is non-diversified.

  17. End-of-Day Pricing Data Panama Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
    Share
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    Techsalerator (2023). End-of-Day Pricing Data Panama Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-data-panama-techsalerator
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Panama
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 214 companies listed on the Panama Stock Exchange (XPTY) in Panama. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    ‍

    Top 5 used data fields in the End-of-Day Pricing Dataset for Panama:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    ‍

    Top 5 financial instruments with End-of-Day Pricing Data in Panama:

    Panamanian Stock Exchange Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Panamanian Stock Exchange (Bolsa de Valores de Panamá). This index provides an overview of the overall market performance in Panama.

    Panamanian Stock Exchange Foreign Company Index: The index that tracks the performance of foreign companies listed on the Panamanian Stock Exchange. This index reflects the performance of international companies operating in Panama.

    Company A: A prominent Panamanian company with diversified operations across various sectors, such as shipping, logistics, or finance. This company's stock is widely traded on the Panamanian Stock Exchange.

    Company B: A leading financial institution in Panama, offering banking, insurance, or investment services. This company's stock is actively traded on the Panamanian Stock Exchange.

    Company C: A major player in the Panamanian energy or real estate sector, involved in the production and distribution of related products. This company's stock is listed and actively traded on the Panamanian Stock Exchange.

    ‍

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Panama, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    ‍

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Panama ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Panama?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Panama exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment methods, including credit cards, direc...

  18. End-of-Day Pricing Data Swaziland Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
    Share
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    Cite
    Techsalerator (2023). End-of-Day Pricing Data Swaziland Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-data-swaziland-techsalerator/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Eswatini
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 7 companies listed on the Swaziland Stock Exchange (XSWA) in Swaziland. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    ‍

    Top 5 used data fields in the End-of-Day Pricing Dataset for Swaziland:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    ‍

    Top 5 financial instruments with End-of-Day Pricing Data in Swaziland:

    Eswatini Stock Exchange Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Eswatini Stock Exchange. This index provides an overview of the overall market performance in Eswatini.

    Eswatini Stock Exchange Foreign Company Index: The index that tracks the performance of foreign companies listed on the Eswatini Stock Exchange. This index reflects the performance of international companies operating in Eswatini.

    Company A: A prominent Eswatini-based company with diversified operations across various sectors, such as telecommunications, energy, or banking. This company's stock is widely traded on the Eswatini Stock Exchange.

    Company B: A leading financial institution in Eswatini, offering banking, insurance, or investment services. This company's stock is actively traded on the Eswatini Stock Exchange.

    Company C: A major player in the Eswatini agricultural sector, involved in the production and distribution of agricultural products. This company's stock is listed and actively traded on the Eswatini Stock Exchange.

    ‍

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Swaziland, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    ‍

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Swaziland ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Swaziland?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Swaziland exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment methods, including credit cards, direct transfer...

  19. m

    Rexford Industrial Realty Inc - Total-Current-Assets

    • macro-rankings.com
    csv, excel
    Updated Aug 11, 2025
    + more versions
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    macro-rankings (2025). Rexford Industrial Realty Inc - Total-Current-Assets [Dataset]. https://www.macro-rankings.com/Markets/Stocks/REXR-NYSE/Balance-Sheet/Total-Current-Assets
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 11, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Total-Current-Assets Time Series for Rexford Industrial Realty Inc. Rexford Industrial creates value by investing in, operating and redeveloping industrial properties throughout infill Southern California, the world's fourth largest industrial market and consistently the highest-demand with lowest-supply major market in the nation. The Company's highly differentiated strategy enables internal and external growth opportunities through its proprietary value creation and asset management capabilities. As of June 30, 2025, Rexford Industrial's high-quality, irreplaceable portfolio comprised 422 properties with approximately 51.0 million rentable square feet occupied by a stable and diverse tenant base. Structured as a real estate investment trust (REIT) listed on the New York Stock Exchange under the ticker REXR, Rexford Industrial is an S&P MidCap 400 Index member.

  20. m

    WisdomTree Europe Quality Dividend Growth Fund - Price Series

    • macro-rankings.com
    csv, excel
    Updated May 7, 2014
    Share
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    Cite
    macro-rankings (2014). WisdomTree Europe Quality Dividend Growth Fund - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/EUDG-US
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    May 7, 2014
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Index Time Series for WisdomTree Europe Quality Dividend Growth Fund. The frequency of the observation is daily. Moving average series are also typically included. At least 80% of the fund's total assets will be invested in constituent securities of the index and investments that have economic characteristics that are substantially identical to the economic characteristics of such constituent securities. The index consists of dividend-paying common stocks of companies with growth characteristics that are incorporated and listed on a stock exchange in one of the following countries: Germany, Switzerland, United Kingdom, etc. The fund is non-diversified.

Share
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Click to copy link
Link copied
Close
Cite
(2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500

S&P 500

SP500

Explore at:
81 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Aug 29, 2025
License

https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

Description

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

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